AI use could boost global energy emissions by 1.2 to 4.8 percent: Alpine study
GS3Economy · S&T · Environment · Security· IT, AI, semiconductors & computing· Prelims + Mains·
Why in news
A study published in npj Climate Action highlights that AI development may increase global energy emissions by 1.2% to 4.8% due to 'enabled emissions' from fossil fuel production.
Background
The study by Will and Holly Alpine identifies that AI's impact on emissions exceeds current data center projections. It highlights a specific deal where Chevron provides power for both fossil fuel extraction and Microsoft's AI development.
Facts for Prelims
- S&TAI 'enabled emissions' refer to greenhouse gases produced by increased fossil fuel output facilitated by AI technology.
- FactThe study estimates a potential global energy emission increase of 1.2% to 4.8% due to AI use.
- S&Tnpj Climate Action is the journal where the research on AI's environmental impact was published.
For Mains
Q. Discuss the environmental challenges posed by the rapid expansion of Artificial Intelligence, specifically regarding 'enabled emissions' and the carbon footprint of data centers.
Dimensions to cover in your answer
- carbon footprint of data centers
- impact on fossil fuel demand
- technological trade-offs
- need for green AI frameworks
Keywords: enabled emissions · carbon footprint · fossil fuel extraction · sustainable AI · climate impact
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This note is generated automatically from SatyaDheesh's news feed and mapped to the UPSC CSE syllabus. Check facts against the original report or PIB before using them in an answer.